AIMC Topic: Radiation Dosage

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Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction.

Journal of computer assisted tomography Apr 27, 2022
OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of...
Deep Learning Image Processing, Computer-Assisted Abdomen Algorithms Tomography, X-Ray Computed Radiation Dosage Obesity Pelvis Radiographic Image Interpretation, Computer-Assisted Humans
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A deep-learning method for the denoising of ultra-low dose chest CT in coronary artery calcium score evaluation.

Clinical radiology Apr 9, 2022
AIM: To evaluate a novel deep-learning denoising method for ultra-low dose CT (ULDCT) in the assessment of coronary artery calcium score (CACS).
Deep Learning Calcium Coronary Vessels Male Lung Humans Tomography, X-Ray Computed Female Aged Adult Radiation Dosage
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Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction.

European journal of radiology Apr 9, 2022
PURPOSE: The aim of this study was to examine the evaluation of ultra-high-resolution computed tomography angiography (UHR CTA) images in moyamoya disease (MMD) reconstructed with hybrid iterative reconstruction (Hybrid-IR), model-based iterative rec...
Humans Algorithms Moyamoya Disease Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Computed Tomography Angiography Retrospective Studies Deep Learning
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A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography.

Journal of thoracic imaging Apr 5, 2022
PURPOSE: We aimed to identify clinically relevant deep learning algorithms for emphysema quantification using low-dose chest computed tomography (LDCT) through an invitation-based competition.
Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Radiation Dosage Emphysema Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans Algorithms
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A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.

Scientific reports Apr 1, 2022
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2AX foci assa...
Radiation Dosage Deep Learning DNA Breaks, Double-Stranded X-Rays Microscopy, Confocal
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Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.

European radiology Mar 31, 2022
OBJECTIVES: To determine the diagnostic accuracy and image quality of ultra-low-dose computed tomography (ULDCT) with deep learning reconstruction (DLR) to evaluate patients with suspected urolithiasis, compared with ULDCT with hybrid iterative recon...
Radiation Dosage Urolithiasis Tomography, X-Ray Computed Humans Urinary Calculi Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

Japanese journal of radiology Mar 14, 2022
PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT).
Image Processing, Computer-Assisted Humans Signal-To-Noise Ratio Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Algorithms Radiation Dosage
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Radiation and iodine dose reduced thoraco-abdomino-pelvic dual-energy CT at 40 keV reconstructed with deep learning image reconstruction.

The British journal of radiology Mar 4, 2022
OBJECTIVE: To evaluate the feasibility of a simultaneous reduction of radiation and iodine doses in dual-energy thoraco-abdomino-pelvic CT reconstructed with deep learning image reconstruction (DLIR).
Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Iodine Radiation Dosage Algorithms Image Processing, Computer-Assisted Iodides Tomography, X-Ray Computed
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Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 4, 2022
BACKGROUND AND PURPOSE: Hybrid iterative reconstruction (HIR) is the most commonly used algorithm for four-dimensional computed tomography (4DCT) reconstruction due to its high speed. However, the image quality is worse than that of model-based itera...
Four-Dimensional Computed Tomography Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen.

European radiology Mar 3, 2022
OBJECTIVES: To evaluate the usefulness of deep learning image reconstruction (DLIR) to improve the image quality of dual-energy computed tomography (DECT) of the abdomen, compared to hybrid iterative reconstruction (IR).
Tomography, X-Ray Computed Deep Learning Iodine Image Processing, Computer-Assisted Abdomen Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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